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Skardi is a self-improving context framework for ai agents

★ 10610 forksRustApache-2.0SkardiLabs

Skardi is a Rust context framework that lets agents query data sources through SQL and MCP, records query intent, and helps turn recurring needs into reusable pipelines and tools. It supports federated queries, governed access, and RAG workflows.

Use Cases

Let agents query federated data sources through SQLRecord query intent and identify recurring agent needsPromote repeated queries into reusable pipelines and MCP toolsServe governed data context to agentsBuild hybrid search and graph RAG workflows

Built With

Language
Rust
Frameworks
Apache DataFusion · MCP

Tags

agent context · self-improving tools · MCP · SQL · query audit · data federation · RAG · pipelines · hybrid search